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» Multiple Object Class Detection with a Generative Model
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ICCV
2005
IEEE
14 years 9 months ago
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framewo...
Iasonas Kokkinos, Petros Maragos
WORM
2003
13 years 9 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...

Publication
258views
13 years 4 months ago
iModel: Interactive Co-segmentation for Object of Interest 3D Modeling
We present an interactive system to create 3D models of objects of interest in their natural cluttered environments. A typical setting for 3D modeling of an object of interest invo...
Adarsh Kowdle, Wen-Chao Chen, Dhruv Batra, Tsuhan ...
CVPR
2007
IEEE
14 years 9 months ago
Multi-class object tracking algorithm that handles fragmentation and grouping
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
Biswajit Bose, Xiaogang Wang, Eric Grimson
ICCV
2005
IEEE
14 years 9 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes